Doerner / Gendreau / Greistorfer | Metaheuristics | E-Book | www.sack.de
E-Book

E-Book, Englisch, Band 39, 410 Seiten

Reihe: Operations Research/Computer Science Interfaces Series

Doerner / Gendreau / Greistorfer Metaheuristics

Progress in Complex Systems Optimization
1. Auflage 2007
ISBN: 978-0-387-71921-4
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

Progress in Complex Systems Optimization

E-Book, Englisch, Band 39, 410 Seiten

Reihe: Operations Research/Computer Science Interfaces Series

ISBN: 978-0-387-71921-4
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark



This book's aim is to provide several different kinds of information: a delineation of general metaheuristics methods, a number of state-of-the-art articles from a variety of well-known classical application areas as well as an outlook to modern computational methods in promising new areas. Therefore, this book may equally serve as a textbook in graduate courses for students, as a reference book for people interested in engineering or social sciences, and as a collection of new and promising avenues for researchers working in this field.

Doerner / Gendreau / Greistorfer Metaheuristics jetzt bestellen!

Weitere Infos & Material


1;Chapter 1 EXPERIMENTS USING SCATTER SEARCH FOR THE MULTIDEMAND MULTIDIMENSIONAL KNAPSACK PROBLEM;15
2;Chapter 2 A SCATTER SEARCH HEURISTIC FOR THE FIXED-CHARGE CAPACITATED NETWORK DESIGN PROBLEM;37
3;Chapter 3 TABU SEARCH-BASED METAHEURISTIC ALGORITHM FOR LARGE-SCALESET COVERING PROBLEMS;54
4;Chapter 4 LOG- TRUCK SCHEDULING WITH A TABU SEARCH STRATEGY;75
5;Chapter 5 SOLVING THE CAPACITATEDMULTI-FACILITY WEBER PROBLEM BY SIMULATED ANNEALING, THRESHOLD ACCEPTING AND GENETIC ALGORITHMS;100
6;Chapter 6 REVIEWER ASSIGNMENT FORCIENTIFIC ARTICLES USINGEMETIC ALGORITHMS;122
7;Chapter 7 GRASP WITH PATH-RELINKING FOR THE TSP;145
8;Chapter 8 USING A RANDOMISED ITERATIVE IMPROVEMENT ALGORITHM WITH COMPOSITE NEIGHBOURHOOD STRUCTURES FOR THE UNIVERSITY COURSE TIMETABLING PROBLEM;161
9;Chapter 9 VARIABLE NEIGHBORHOOD SEARCH FOR THE PROBABILISTIC SATISFIABILITY PROBLEM;179
10;Chapter 10 THE ACO/F-RACE ALGORITHM FOR COMBINATORIAL OPTIMIZATION UNDER UNCERTAINTY;195
11;Chapter 11 ADAPTIVE CONTROL OF GENETIC PARAMETERS FOR DYNAMIC COMBINATORIAL PROBLEMS;210
12;Chapter 12 A MEMETIC ALGORITHM FOR DYNAMIC LOCATION PROBLEMS;229
13;Chapter 13 A STUDY OF CANONICAL GAs FOR NSOPs;249
14;Chapter 14 PARTICLE SWARM OPTIMIZATION AND SEQUENTIAL SAMPLING IN NOISY ENVIRONMENTS;265
15;Chapter 15 EMBEDDING A CHAINED LIN-KERNIGHAN ALGORITHM INTO A DISTRIBUTED ALGORITHM;279
16;Chapter 16 EXPLORING GRID IMPLEMENTATIONS OF PARALLEL COOPERATIVE METAHEURISTICS;298
17;Chapter 17 USING EXPERIMENTAL DESIGN TO ANALYZE STOCHASTIC LOCAL SEARCH ALGORITHMS FOR MULTIOBJECTIVE PROBLEMS;325
18;Chapter 18 DISTANCE MEASURES AND FITNESS-DISTANCE ANALYSIS FOR THE CAPACITATED VEHICLE ROUTING PROBLEM;345
19;Chapter 19 TUNING TABU SEARCH STRATEGIES VIA VISUAL DIAGNOSIS;365
20;Chapter 20 SOLVING VEHICLE ROUTING USING IOPT;389



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.